6 papers
Temporal Reasoning in AI systems
Abhishek Sharma
Commonsense temporal reasoning at scale is a core problem for cognitive systems. The correct inference of the duration for which fluents hold is required by many tasks, including n…
A Coordination-based Approach for Focused Learning in Knowledge-Based Systems
Abhishek Sharma
Recent progress in Learning by Reading and Machine Reading systems has significantly increased the capacity of knowledge-based systems to learn new facts. In this work, we discuss…
Growth Patterns of Inference
Abhishek Sharma
What properties of a first-order search space support/hinder inference? What kinds of facts would be most effective to learn? Answering these questions is essential for understandi…
Advancing Parkinson's Disease Progression Prediction: Comparing Long Short-Term Memory Networks and Kolmogorov-Arnold Networks
Abhinav Roy, Bhavesh Gyanchandani, Aditya Oza +1
Parkinson's Disease (PD) is a degenerative neurological disorder that impairs motor and non-motor functions, significantly reducing quality of life and increasing mortality risk. E…
Autonomous programmable microscopic electronic lablets optimized with digital control
Thomas Maeke, John McCaskill, Dominic Funke +4
Lablets are autonomous microscopic particles with programmable CMOS electronics that can control electrokinetic phenomena and electrochemical reactions in solution via actuator and…
Design and fabrication of autonomous electronic lablets for chemical control
John S. McCaskill, Thomas Maeke, Dominic Funke +4
Lablets are autonomous microscopic particles with programmable CMOS electronics that canvcontrol electrokinetic phenomena and electrochemical reactions in solution via actuator and…